The registration of satellite imagery is challenging task because of considerable differences between the image pairs captured by different sensors, view angles, spectrum or at different times. To align the images effectively, a coarse-to-fine registration algorithm is proposed. First, Fourier-Mellin transform algorithm is used to implement a fast coarse registration. Then, the optimization algorithm based on MSSIM measure is used to implement a fine registration. Because there is no accurate measure standard, it is very difficult to give a quantitative assessment of the registration results for real satellite images. A novel registration evaluation method is proposed, called Catching Curve Feature Evaluation (MCfe) method. In MCfe, kurtosis, peak deviation, peak maximum and Root Mean Square Error (RMSE) among peak maxima are extracted as the quantitative evaluation indexes, and the minimizing on RMSE is used as a registration criterion. The results demonstrate that the coarse-to-fine registration algorithm can achieve an extremely accurate registration for satellite imagery. The MCfe method can intuitively describe the registration performance from the curve features such as smoothness and sharpness, and also to be used to quantitatively assess the registration results, but also to automatically adjust the registration parameters to obtain a more accurate registration.